Instructions to use EnD-Diffusers/duskfall-crew-visual-art-style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/duskfall-crew-visual-art-style with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/duskfall-crew-visual-art-style", dtype=torch.bfloat16, device_map="cuda") prompt = "dskyart1" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- a9f899e2fedb5263f0f7f9bb6a9ff9fa7101b0b00670dd67b0548c7fd6b4bde1
- Size of remote file:
- 1.36 GB
- SHA256:
- 4f0bd7e4c661b24a24b6f2aeb68fc52cef8d3fcc12c897d79953ce0ddc00046f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.